Processing of chemical sensor arrays with a biologically inspired model of olfactory coding

نویسندگان

  • Baranidharan Raman
  • P. A. Sun
  • Agustin Gutierrez-Galvez
  • Ricardo Gutierrez-Osuna
چکیده

This paper presents a computational model for chemical sensor arrays inspired by the first two stages in the olfactory pathway: distributed coding with olfactory receptor neurons and chemotopic convergence onto glomerular units. We propose a monotonic concentration-response model that maps conventional sensor-array inputs into a distributed activation pattern across a large population of neuroreceptors. Projection onto glomerular units in the olfactory bulb is then simulated with a self-organizing model of chemotopic convergence. The pattern recognition performance of the model is characterized using a database of odor patterns from an array of temperature modulated chemical sensors. The chemotopic code achieved by the proposed model is shown to improve the signal-to-noise ratio available at the sensor inputs while being consistent with results from neurobiology.

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عنوان ژورنال:
  • IEEE transactions on neural networks

دوره 17 4  شماره 

صفحات  -

تاریخ انتشار 2006